matlab-deep-learning/transformer-models

Deep Learning Transformer models in MATLAB

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This project provides pre-trained language models like BERT, FinBERT, and GPT-2 within MATLAB to help you analyze and generate text. You can input raw text, like financial news or factory reports, and get outputs such as text classifications, sentiment scores (positive, neutral, negative), or summarized versions of your documents. It's designed for engineers, researchers, and data scientists working with text data who prefer to use MATLAB for their deep learning tasks.

240 stars. No commits in the last 6 months.

Use this if you need to perform tasks like text classification, sentiment analysis on financial documents, or automatic text summarization using powerful deep learning models, all within the MATLAB environment.

Not ideal if you prefer to work with deep learning frameworks outside of MATLAB, or if your primary goal is to train complex transformer architectures from scratch without using pre-built models.

text-analysis natural-language-processing financial-sentiment document-summarization text-classification
Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 23 / 25

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Stars

240

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64

Language

MATLAB

License

Last pushed

Sep 19, 2023

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